Sharma, Navuday and Awais, Muhammad and Pervaiz, Haris and Malik, Hassan and Ni, Qiang (2021) Network‐Assisted Unmanned Aerial Vehicle Communication for Smart Monitoring of Lockdown. In: Autonomous Airborne Wireless Networks. Wiley, Chichester, pp. 195-216. ISBN 9781119751687. Official URL: https://onlinelibrary.wiley.com/doi/10.1002/978111...
Sharma, Navuday and Awais, Muhammad and Pervaiz, Haris and Malik, Hassan and Ni, Qiang (2021) Network‐Assisted Unmanned Aerial Vehicle Communication for Smart Monitoring of Lockdown. In: Autonomous Airborne Wireless Networks. Wiley, Chichester, pp. 195-216. ISBN 9781119751687. Official URL: https://onlinelibrary.wiley.com/doi/10.1002/978111...
Sharma, Navuday and Awais, Muhammad and Pervaiz, Haris and Malik, Hassan and Ni, Qiang (2021) Network‐Assisted Unmanned Aerial Vehicle Communication for Smart Monitoring of Lockdown. In: Autonomous Airborne Wireless Networks. Wiley, Chichester, pp. 195-216. ISBN 9781119751687. Official URL: https://onlinelibrary.wiley.com/doi/10.1002/978111...
Abstract
The spread of the COVID-19 pandemic, commonly called coronavirus, has caused serious problems in society leading to the deaths of many people, affecting businesses, jobs, and education all over the globe. Social distancing, and avoiding group gathering and physical contact are the potential solutions to reduce the spread of the virus. In this chapter, we exploit the benefits of unmanned aerial vehicles (UAVs) deployed as aerial base stations (ABSs) or relays for terrestrial communication, crowd surveillance, and monitoring as the key aspect to enable social distancing restrictions.
| Item Type: | Book Section |
|---|---|
| Uncontrolled Keywords: | unmanned aerial vehicle, COVID-19, cellular coverage, ray tracing, social distancing |
| Divisions: | Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 03 Feb 2026 16:24 |
| Last Modified: | 03 Feb 2026 16:24 |
| URI: | http://repository.essex.ac.uk/id/eprint/37345 |